{"uid":"cap_406PCDXio7t_M2EZ1lDE3","slug":"building-footprint-observations-trailing-mean-series-two-measure-bc9c5b3f","name":"Building Footprint Observations — Trailing Mean Series + Two-Measure Correlation","description":"Building footprint observations — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation for supplied building footprint observations records (footprint_m2, height_m). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-16-150?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","footprint_m2","height_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"height_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"footprint_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","height_m":1,"footprint_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","height_m":2,"footprint_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","height_m":3,"footprint_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","height_m":4,"footprint_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["footprint_m2","height_m"],"type":"string","default":"footprint_m2"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_F2_qUyRjjK9E-MqJP-MBe","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a trailing mean time series and a two-measure correlation report for user-supplied building footprint observation records (footprint_m2 and height_m).","exampleAgentPrompt":"I have a dataset of building footprint observations with footprint_m2 and height_m readings across multiple station groups and dates — can you run a trailing mean series using a window of 3 and also compute the two-measure correlation between footprint_m2 and height_m for all 50 rows?","exampleUseCases":[{"title":"Urban building size trend smoothing","prompt":"I've got monthly building footprint area readings in m2 for about 80 buildings across two station groups from 2024. Can you compute a trailing mean series with a window of 4 on the footprint_m2 field and also give me the correlation between footprint_m2 and height_m?"},{"title":"Architecture dataset statistical audit","prompt":"We have 150 rows of building observation records with footprint_m2 and height_m columns. Run a trailing mean with window size 5 on height_m and also calculate the two-measure correlation between footprint_m2 and height_m so I can see how they relate."},{"title":"Real estate portfolio footprint analysis","prompt":"I'm analyzing a portfolio of 120 commercial properties — each has a date, station group, footprint in square meters, and height in meters. Can you smooth the footprint_m2 values with a trailing mean of window 6 and show me the correlation between footprint and height across the dataset?"}],"resultDescription":"Returns two analytical reports computed locally on the supplied data: (1) a trailing mean time series for the selected field (footprint_m2 or height_m) using the specified window size, and (2) a correlation analysis between footprint_m2 and height_m across the provided rows. No external data is fetched; all analysis is performed on the submitted records.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds row limit, request rejected","Window size larger than number of rows — trailing mean cannot be computed","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, date, footprint_m2, height_m) — validation failure","All null values in a measure field — correlation or mean computation may be undefined"],"whenToPreferThis":"Choose this endpoint when you have tabular building observation data with footprint and height measurements and need both a smoothed trailing mean time series and a statistical correlation between the two measures in a single API call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external action is needed, and where the dataset fits within 200 rows. Prefer this over general-purpose analytics platforms when you want a low-cost ($0.01 USDC), self-contained computation on already-collected building data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:40:01.427Z","isFirstParty":false,"canonicalSlug":"building-footprint-observations-trailing-mean-series-two-measure-bc9c5b3f"}